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Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.

, , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341I. SPIE, (2017)

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Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341I. SPIE, (2017)Nonlinear metric learning for kNN and SVMs through geometric transformations., and . Neurocomputing, (2018)Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups., , , and . ICPR, page 898-903. IEEE Computer Society, (2018)Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion., , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 12-20. Springer, (2017)Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?, , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342X. SPIE, (2017)Robust separation of visceral and subcutaneous adipose tissues in micro-CT of mice., , , , and . EMBC, page 2312-2315. IEEE, (2013)Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105752R. SPIE, (2018)Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750R. SPIE, (2018)Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis., , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 304-312. Springer, (2015)Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis., , , , and . Pattern Recognit., (2017)